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The Nature of Business Policy Business policy — or general management — is concerned with the following six major functions:

Computer aided process planning (CAPP) is generally acknowledged as a significant activity to achieve computer‐integrated manufacturing (CIM). In coping with the dynamic changes in the modern manufacturing environment, the awareness of developing intelligent CAPP systems has to be raised, in an attempt to generate more successful implementations of intelligent manufacturing systems. In this paper, the architecture of a hybrid intelligent inference model for implementing the intelligent CAPP system is developed. The detailed structure for such a model is also constructed. The establishment of the hybrid intelligent inference model will enable the CAPP system to adapt automatically to the dynamic manufacturing environment, with a view to the ultimate realization of full implementation of intelligent manufacturing systems in enterprises.

The planning function is a central component of management principles, enabling the success of construction project management. Many works have been highlighting the topic of critical success factors within construction organizations, yet the results have rarely covered planning behaviors within public construction work management; these less investigated areas were the aims of this study.

To fulfill this research aim, seven attributes of planning function were first derived through focus group studies, a focused literature review and focal interviews with industry practitioners. Then, a regression analysis design was employed with data collected from 139 professionals who are involved in public construction works management in Vietnam. The structural equation modeling technique with partial least-squares estimation was utilized to analyze the data.

The results revealed seven behavioral dimensions (i.e. Goals planning (PL1), Planning guidance (PL2), Strategic planning (PL3), Financial mobilization (PL4), Action plan (PL5), Expenditure planning (PL6) and Responsibility assignment (PL7)) to measure planning function management in terms of public construction works. The study also reveals that Goals planning (PL1), Financial mobilization (PL4), Expenditure planning (PL6) and Responsibility assignment (PL7) have significant effects on management effectiveness. At the same time, Goals planning (PL1) acts as the mediator of Planning guidance (PL2) and Strategic planning (PL3); while Action plan (PL5) specifies an indirect influence through the mediator of PL4, PL6 and PL7.

The success of this approach is expected to reinforce the contribution of the planning function and suggest a useful tool for supporting the professionals in managing public construction works.

The purpose of this paper is to propose a low-cost, high return model for implementing a programmatic foresight function that is collaboratively integrated with the organization’s existing policy, planning and intelligence (or policy research) functions. Focusing on government agencies, especially those supporting liberal democratic governments, the purpose of the current paper is to propose a new, practical, low-cost and high-return model for implementing a programmatic strategic foresight function that is collaboratively integrated with the organization’s existing policy, planning and intelligence functions. The paper describes the relevant organizational considerations and options for structural adjustments, and suggests how the proposed model can maximize decision-making effectiveness without disrupting pre-existing structures, operations and products. The paper further discusses the necessity and involvement of a central government foresight agency and a non-hierarchical distributed network linking the foresight units.

Possible solutions are considered with respect to costs of development and implementation, risk (likelihood, consequence and uncertainty) of the new function’s failure, direct negative or positive effect on the performance of existing functions, the level of cross-organizational involvement in or collaboration with the new function, the level of cross-organization tangible benefits and the level of vertical involvement, especially at the executive level.

With few exceptions, the implementation of foresight by governments has not been at all methodical, but has followed many different paths, where it has occurred at all. The approach proposed in this paper – establishing a central foresight agency, propagating individual agency-based small programmatic foresight units and virtual teams and creating a non-hierarchical distributed network to link all of them – appears to best meet the success criteria set out in the paper.

Governments, especially liberal democratic ones, and their agencies that have previously shied away from methodically implementing strategic foresight or that have attempted to do so without real success now have an approach that is likely to produce the desired results.

The paper creates a sound framework for governments, especially liberal democratic ones, and their agencies to consider and proceed with the implementation of foresight functions and networks to support them.

The proposed approach is entirely new and generally challenges current practices.

Currently, the European air transport system is experiencing an annual growth of 7%. With an increasing number of flights, airports are reaching their capacity limits and are becoming a bottleneck in the system. Mantea is a European Commission funded project dealing with this issue. This paper focuses on planning decision support tools for airport traffic controllers.

The objective of our planning tools is to achieve a better use of the available airport infrastructure (taxiways and runways). To generate a safe plan, many rules must be taken into account that restrict the usage of airport tarmac: international regulations, airport operational procedures, aircraft performance, weather conditions and sometimes even controller “usual practices”. To generate a realistic plan, extensive monitoring of the traffic situation as well as suitable timing must be achieved. In the life cycle of a flight, 11 out of 15 possible causes of delay occur in an interval of 10-20 minutes, between aircraft start-up request and push-back. This means that precise planning before the end of this period is highly improbable. On the other hand, planning after this period implies the need for fast responses from the system.

In the Mantea project, an architecture is proposed in which a co-operative approach is taken towards planning aircraft movements at the airport. Controllers will be supported by planning tools that help assigning routes and departure times to controlled vehicles, in planning runway allocation (departure sequence) and occupancies, and in monitoring plan progress during flight phases. The planning horizon relates to medium term operations, i.e. 2-20 minutes ahead. The Mantea planning tools implement the following functions: runway departure planning, routing, and plan conformance monitoring. The tools will reduce the controller's workload, increase the level of safety for airport surface movements, and reduce the number of delays and operating costs for the airliners.

In this paper, we will focus on the constraint satisfaction programming techniques used in Mantea for (1) runway departure planning, (2) itinerary search and taxi planning functions. The airport tarmac and runway vicinity air routes have been modelled as a graph. Real time constraints have brought us to develop an algorithm linear in complexity for the itinerary search problem. Operational pressure has led us to develop fast search strategies for scheduling (i.e. use of heuristics, hill climbing…).

Effective planning requires the participation of different functions and may be hampered by lack of integration and information quality (IQ). This paper aims to investigate the relationships among integration, uncertainty, IQ and performance, in the context of the production planning and control function. The literature lacks in-depth studies that consider these factors altogether, showing how they interact and how they contribute to improve business performance.

The authors introduce the variable of planning performance, which represents the quality of the production plans/planning process and is related to the frequency and causes of modifications to these plans. The relationships among the mentioned constructs are investigated by means of multiple case studies.

The results illustrate that integration is positively related to planning performance, and this relationship is mediated by IQ and moderated by uncertainty.

The presented analysis may help practitioners to foster interfunctional integration, better cope with uncertainty and improve information management, aiming to achieve better planning performance. The managers can choose integration and IQ improvement mechanisms that better fit to their environment/reality, using the four different cases as a benchmark. Moreover, this research contributes to the literature exploring this contingency perspective by means of in-depth case studies, considering that most of the existing research adopting this perspective is survey-based.

Introduction Operations research, i.e. the application of scientific methodology to operational problems in the search for improved understanding and control, can be said to have started with the application of mathematical tools to military problems of supply bombing and strategy, during the Second World War. Post‐war these tools were applied to business problems, particularly production scheduling, inventory control and physical distribution because of the acute shortages of goods and the numerical aspects of these problems.

At the beginning of children's school careers, large differences already exist between children in their mathematical skills and knowledge. Preparatory math skills such as counting and Piagetian operations are important predictors of later math learning disabilities. However, little research has been conducted on the underlying processes that could explain or predict these preparatory math skills. Traditionally, intelligence has been viewed, next to language (vocabulary), as an important predictor of school success in general and math performance in specific. However, recent studies suggest that other, more fluid, domain-general cognitive processes, such as working memory and executive functions, are better predictors than traditional IQ scores. This chapter reports on two studies in which the relations between early mathematics and different working memory components are investigated. In the first study, the relations between the Early Numeracy Test (ENT) and five working memory aspects have been studied in a correlational study with 240 kindergartners. The following working memory components can be distinguished: the central executive controlling system, the phonological component, and the visuospatial component. In this study, three distinctive executive functions were measured: inhibition, shifting, and planning. The results show that phonological working memory, shifting, and planning are highly related to children's early math competence. Together, these functions can explain 50% of the total variance in early math. In a second study under 111 kindergartners, it was found that the scores on the ENT are moderately related to the executive function planning. Contrary to the expectations, intelligence was more related to preparatory math skills than planning. However, in a short training study with 15 low performing children, it was found that children's planning scores could better predict their improvement than intelligence: children low in planning did not profit as much from the training as children with higher planning capacities. The results of these studies emphasize the need for further research on the relations between working memory processes and preparatory math skills. These processes seem to play an important role in the origin of math learning difficulties. The results of the second study also suggest that remediation of early math learning difficulties should be adapted according to children's cognitive profiles regarding working memory and executive functions.

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.